Next Article in Journal
Influence of Forestry Practices Cost on Financial Performance of Forestry Investments
Previous Article in Journal
Jumping the Chain: How Downstream Manufacturers Engage with Deep Suppliers of Conflict Minerals
Article Menu
Issue 1 (March) cover image

Export Article

Open AccessArticle
Resources 2019, 8(1), 27; https://doi.org/10.3390/resources8010027

An Innovative Control Framework for District Heating Systems: Conceptualisation and Preliminary Results

Systems and Control Research Centre, School of Mathematics, Computer Science and Engineering, City University of London, Northampton Square, London EC1V 0HB, UK
*
Author to whom correspondence should be addressed.
Received: 23 December 2018 / Revised: 23 January 2019 / Accepted: 24 January 2019 / Published: 31 January 2019
Full-Text   |   PDF [1158 KB, uploaded 31 January 2019]   |  
  |   Review Reports

Abstract

This paper presents a holistic innovative solution for the transformation of the current district heating and cooling systems to automated more efficient systems. A variety of technological advancements have been developed and integrated to support the effective energy management of future district heating and cooling sector. First, we identify and discuss the main challenges and needs that are in line with the EU objectives and policy expectations. We give an overview of the main parts that our solution consists of, with emphasis on the forecasting tools and an advanced control system that addresses unit commitment and economic load dispatch problems. The proposed control approach employs distributed and scalable optimisation algorithms for optimising the short-term operations of a district heating and cooling plant subject to technical constraints and uncertainties in the energy demand. To test the performance and validate the proposed control system, a district heating plant with multiple energy generation units and real-life heat load data were used. Simulation experiments were also used to evaluate the benefits of using thermal storage units in district heating systems. The results show that the proposed method could achieve significant cost savings when energy storage is employed. The proposed control strategy can be applied for both operating optimally district heating plants with storage and supporting investment planning for new storage units. View Full-Text
Keywords: district energy systems; district heating networks; thermal energy storage; decision-making systems; model predictive control; hierarchical control district energy systems; district heating networks; thermal energy storage; decision-making systems; model predictive control; hierarchical control
Figures

Figure 1

This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).
SciFeed

Share & Cite This Article

MDPI and ACS Style

Moustakidis, S.; Meintanis, I.; Halikias, G.; Karcanias, N. An Innovative Control Framework for District Heating Systems: Conceptualisation and Preliminary Results. Resources 2019, 8, 27.

Show more citation formats Show less citations formats

Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Related Articles

Article Metrics

Article Access Statistics

1

Comments

[Return to top]
Resources EISSN 2079-9276 Published by MDPI AG, Basel, Switzerland RSS E-Mail Table of Contents Alert
Back to Top